Triple

T5615534
Position Surface form Disambiguated ID Type / Status
Subject Kayanic languages E147467 entity
Predicate hasMember P10 FINISHED
Object Uma’ Jalan language E135946 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Uma’ Jalan language | Statement: [Kayanic languages, hasMember, Uma’ Jalan language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uma’ Jalan language
Context triple: [Kayanic languages, hasMember, Uma’ Jalan language]
  • A. Uma language chosen
    Uma is an Austronesian language of the Celebic subgroup spoken primarily in Central Sulawesi, Indonesia.
  • B. Ukaan language
    The Ukaan language is a little-documented Niger-Congo language spoken by a small community in southwestern Nigeria, notable for its uncertain classification within the Benue–Congo family.
  • C. Uduk language
    The Uduk language is a Nilo-Saharan language spoken primarily by the Uduk people of eastern Sudan and western Ethiopia.
  • D. Lasalimu language
    The Lasalimu language is an Austronesian language spoken by a small community on Buton Island in Southeast Sulawesi, Indonesia.
  • E. Jukun language
    The Jukun language is a Niger-Congo language spoken primarily by the Jukun people of central Nigeria, especially in Taraba and surrounding states.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c00905d4588190bd967842bbcf2219 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c021d8d600819097df4e265e262d90 completed March 22, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d51c12c8190911fb9a0c0d234d8 completed March 22, 2026, 8:13 p.m.
Created at: March 22, 2026, 3:39 p.m.